Image Generation On Textatlaseval
Métriques
StyledTextSynth Clip Score
StyledTextSynth FID
StyledTextSynth OCR (Accuracy)
StyledTextSynth OCR (Cer)
StyledTextSynth OCR (F1 Score)
TextScenesHQ Clip Score
TextScenesHQ FID
TextScenesHQ OCR (Accuracy)
TextScenesHQ OCR (Cer)
TextScenesHQ OCR (F1 Score)
TextVisionBlend Clip Score
TextVisionBlend FID
TextVisionBlend OCR (Accuracy)
TextVisionBlend OCR (Cer)
TextVsionBlend OCR (F1 Score)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | StyledTextSynth Clip Score | StyledTextSynth FID | StyledTextSynth OCR (Accuracy) | StyledTextSynth OCR (Cer) | StyledTextSynth OCR (F1 Score) | TextScenesHQ Clip Score | TextScenesHQ FID | TextScenesHQ OCR (Accuracy) | TextScenesHQ OCR (Cer) | TextScenesHQ OCR (F1 Score) | TextVisionBlend Clip Score | TextVisionBlend FID | TextVisionBlend OCR (Accuracy) | TextVisionBlend OCR (Cer) | TextVsionBlend OCR (F1 Score) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| infinity-mm-scaling-multimodal-performance | 0.2727 | 84.95 | 0.80 | 0.93 | 1.42 | 0.2346 | 71.59 | 1.06 | 0.88 | 1.74 | 0.1979 | 95.69 | 2.98 | 0.83 | 3.44 |
| Modèle 2 | 0.2938 | 90.70 | 30.58 | 0.78 | 38.25 | 0.3367 | 86.73 | 69.26 | - | 51.63 | 0.1938 | 153.21 | 8.38 | 0.93 | 7.94 |
| Modèle 3 | 0.2849 | 71.09 | 27.21 | 0.73 | 33.86 | 0.2363 | 64.44 | 19.03 | 0.73 | 24.45 | 0.1846 | 118.85 | 14.55 | 0.88 | 16.25 |
| Modèle 4 | 0.2938 | 80.33 | 15.82 | 0.73 | 21.40 | 0.3197 | - | 35.07 | 0.57 | 37.94 | 0.1697 | - | 41.54 | 0.57 | 44.22 |
| pixart-s-weak-to-strong-training-of-diffusion | 0.2764 | 82.83 | 0.42 | 0.90 | 0.62 | 0.2347 | 72.62 | 0.34 | 0.91 | 0.53 | 0.1891 | 81.29 | 2.40 | 0.83 | 1.57 |
| textdiffuser-2-unleashing-the-power-of | 0.2510 | 114.31 | 0.76 | 0.99 | 1.46 | 0.2252 | 84.10 | 0.66 | 0.96 | 1.25 | - | - | - | - | - |
| anytext-multilingual-visual-text-generation | 0.2501 | 117.71 | 0.35 | 0.98 | 0.66 | 0.2174 | 101.32 | 0.42 | 0.95 | 0.8 | - | - | - | - | - |